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Research Scientist Intern, PhD, PyTorch Compiler

AT Meta
Meta

Research Scientist Intern, PhD, PyTorch Compiler

Menlo Park, CA

Our team makes PyTorch run faster and more resource-efficient without sacrificing the flexibility and ease of use of PyTorch.Team scope:- Advance PyTorch 2.0 technologies that bring torch.compile() to the heart of PyTorch - Advance PyTorch Distributed through torch.compile()- Improve PyTorch out-of-the-box performance on GPU, CPU, accelerators- Vertical performance optimization for models for training and inferenceOur team at Meta AI offers twelve (12) to sixteen (16) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit https://ai.facebook.com

Research Scientist Intern, PhD, PyTorch Compiler Responsibilities:

  • Develop new techniques in TorchDynamo, TorchInductor, PyTorch core, PyTorch Distributed.
  • Explore the intersection of PyTorch compiler and PyTorch distributed.
  • Optimize Generative AI models across the stack (pre-training, fine-tuning, and inference).
  • Improve PyTorch performance in general.
  • Conduct cutting-edge research on �ML compiler and ML distributed technologies.
  • Collaborate with users of PyTorch to enable new use cases for the framework both inside and outside Facebook.
Minimum Qualifications:

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  • Collaborate with users of PyTorch to enable new use cases for the framework both inside and outside Facebook.
  • Experience in ML compiler, Distributed Training, ML systems, or similar.
  • Proficient in Python or Cuda programming.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications:
  • Experience working on other ML compiler stack, especially on PT2 stack or Triton.
  • Research or software engineer experience demonstrated via grants, fellowships, patents, internship, work experience, and/or coding competitions.
  • Experience doing performance optimization on machine learning models.
  • First-authored publications at peer-reviewed conferences (e.g. NeurIPS, MLSys, ASPLOS, PLDI, CGO, PACT, ICML, or similar).
About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

$7,800/month to $11,293/month + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Client-provided location(s): Menlo Park, CA, USA
Job ID: a1KDp00000E1uqmMAB
Employment Type: Intern

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Leave of Absence
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Pension
    • Company Equity
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
    • Founder led

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